Showing 4 open source projects for "single wrapper"

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    GMT.jl

    GMT.jl

    Generic Mapping Tools Library Wrapper for Julia

    The Generic Mapping Tools, GMT, is an open source collection of tools for manipulating geographic and Cartesian data sets (including filtering, trend fitting, gridding, projecting, etc.) and producing PostScript illustrations ranging from simple x–y plots via contour maps to artificially illuminated surfaces and 3D perspective views. This link will take you to an impressive collection of figures made with GMT. The GMT Julia wrapper was designed to work in a way the close as possible to the command line version and yet to provide all the facilities of the Julia language. In this sense, all GMT options are put in a single text string that is passed, plus the data itself when it applies, to the gmt() command. However, we also acknowledge that not every one is comfortable with the GMT syntax. ...
    Downloads: 4 This Week
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  • 2
    vue-chartjs

    vue-chartjs

    Vue.js wrapper for Chart.js

    ...However, keep in mind the limitations of vue and javascript for mutations on arrays and objects. It is important that you pass your options in a local variable named options! You can create your components in Vues single file components.
    Downloads: 0 This Week
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  • 3
    CxxWrap

    CxxWrap

    Package to make C++ libraries available in Julia

    This package aims to provide a Boost. Python-like wrapping for C++ types and functions to Julia. The idea is to write the code for the Julia wrapper in C++, and then use a one-liner on the Julia side to make the wrapped C++ library available there. The mechanism behind this package is that functions and types are registered in C++ code that is compiled into a dynamic library. This dynamic library is then loaded into Julia, where the Julia part of this package uses the data provided through a...
    Downloads: 0 This Week
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  • 4
    MPI.jl

    MPI.jl

    MPI wrappers for Julia

    This is a basic Julia wrapper for the portable message-passing system Message Passing Interface (MPI). Inspiration is taken from mpi4py, although we generally follow the C and not the C++ MPI API. (The C++ MPI API is deprecated.) MPI is based on a single program, multiple data (SPMD) model, where multiple processes are launched running independent programs, which then communicate as necessary via messages.
    Downloads: 0 This Week
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